Triple

T1890005
Position Surface form Disambiguated ID Type / Status
Subject Amakusa Airlines E41851 entity
Predicate focusCity P164 FINISHED
Object Fukuoka Airport E84073 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fukuoka Airport | Statement: [Amakusa Airlines, focusCity, Fukuoka Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukuoka Airport
Context triple: [Amakusa Airlines, focusCity, Fukuoka Airport]
  • A. Fukuoka Airport chosen
    Fukuoka Airport is a major international and domestic airport in Fukuoka City, serving as the primary air gateway to Japan’s Kyushu region.
  • B. Kumamoto Airport
    Kumamoto Airport is a regional and domestic airport in Kumamoto Prefecture, Japan, serving as a key air gateway to the Kyushu region.
  • C. Nagasaki Airport
    Nagasaki Airport is a regional and international airport in Nagasaki Prefecture, Japan, notable for being one of the world’s first offshore airports built on an artificial island.
  • D. Kagoshima Airport
    Kagoshima Airport is a regional and domestic hub in southern Japan that serves Kagoshima Prefecture and provides access to the island of Kyushu and nearby remote islands.
  • E. Hiroshima Airport
    Hiroshima Airport is the main regional airport serving Hiroshima Prefecture in Japan, handling domestic and limited international flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb142e41881908fc7335673a9dec3 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3042bdf08190bf43c9246fcc114e completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:34 p.m.